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Title:
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ORGANISATION OF KNOWLEDGE FROM TRACES
OF HUMAN LEARNING |
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Author(s):
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Baba Mbaye |
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ISBN:
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978-989-8533-88-3 |
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Editors:
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Miguel Baptista Nunes and Pedro Isaias |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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E-Learning, Semantic Network, Knowledge Representation, Semantic Web, Written Records |
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Type:
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Doctoral |
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First Page:
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361 |
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Last Page:
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365 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Faced with the diversity and the large number of learning resources available on e-learning platforms, learners often face
problems of inadequacy between the training path to choose and the skills sought.
Indeed, many learning platforms with recommendation exist, but these do not often include information and different
characteristics of learners. This problem can be mitigated by the semantisation of the content and the organization of the
knowledge of the different actors involved on the learning platform.
In this paper, we make a modeling of the knowledge representation (thesauri and concept maps) of learning resources,
based on information from learner's written records on a learning platform and knowledge modeling from expert
interactions on resource and learner assessments.
These models make it possible to represent knowledge from written tracesthese written traces are metadata resulting from
the interactions made on a learning platform by the learners and the experts (for example the expert in charge of the
content of the trainings, the expert in charge of the evaluation of the trainings carried out). |
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